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Depth estimation for a mobile platform using monocular vision

Link to publisher's homepage at http://www.sciencedirect.com/ International Symposium on Robotics and Intelligent Sensors 2012 (IRIS 2012)

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Bibliographic Details
Main Authors: Zamzamir, Said, Sundaraj, Kenneth, Prof. Dr., Mohd Nadhir, A. Wahab
Other Authors: zam_said@yahoo.com
Format: Article
Language:English
Published: Elsevier Ltd. 2014
Subjects:
Depth estimation
Monocular vision
Pixel location
Vision sensor
Online Access:http://dspace.unimap.edu.my:80/dspace/handle/123456789/33287
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spelling my.unimap-332872014-04-01T02:55:21Z Depth estimation for a mobile platform using monocular vision Zamzamir, Said Sundaraj, Kenneth, Prof. Dr. Mohd Nadhir, A. Wahab zam_said@yahoo.com kenneth@unimap.edu.my mohdnadhir@yahoo.com Depth estimation Monocular vision Pixel location Vision sensor Link to publisher's homepage at http://www.sciencedirect.com/ International Symposium on Robotics and Intelligent Sensors 2012 (IRIS 2012) This paper briefly discusses the depth estimation method for a mobile platform using monocular vision. The biggest challenge for autonomous mobile platform in an unknown environment is the accuracy in the estimation of the distance and the position of obstacles around them. In order for them to safely navigate from one position to another, reliable range sensors are needed to detect any obstacle that blocked their path. Vision sensor can be used for the purpose, as it can provide a better and cost-effective solution. The method discussed in this paper requires a simple calibration. The data obtained from calibration process will be used to generate the equation for depth estimation procedure. The results presented in this paper testify the reliability of the methodology used for depth estimation. 2014-04-01T02:55:21Z 2014-04-01T02:55:21Z 2012 Article Procedia Engineering, vol. 41, 2012, pages 945-950 1877-7058 http://dspace.unimap.edu.my:80/dspace/handle/123456789/33287 http://dx.doi.org/10.1016/j.proeng.2012.07.267 http://www.sciencedirect.com/science/article/pii/S1877705812026677# en Elsevier Ltd.
institution Universiti Malaysia Perlis
building UniMAP Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Malaysia Perlis
content_source UniMAP Library Digital Repository
url_provider http://dspace.unimap.edu.my/
language English
topic Depth estimation
Monocular vision
Pixel location
Vision sensor
spellingShingle Depth estimation
Monocular vision
Pixel location
Vision sensor
Zamzamir, Said
Sundaraj, Kenneth, Prof. Dr.
Mohd Nadhir, A. Wahab
Depth estimation for a mobile platform using monocular vision
description Link to publisher's homepage at http://www.sciencedirect.com/ International Symposium on Robotics and Intelligent Sensors 2012 (IRIS 2012)
author2 zam_said@yahoo.com
author_facet zam_said@yahoo.com
Zamzamir, Said
Sundaraj, Kenneth, Prof. Dr.
Mohd Nadhir, A. Wahab
format Article
author Zamzamir, Said
Sundaraj, Kenneth, Prof. Dr.
Mohd Nadhir, A. Wahab
author_sort Zamzamir, Said
title Depth estimation for a mobile platform using monocular vision
title_short Depth estimation for a mobile platform using monocular vision
title_full Depth estimation for a mobile platform using monocular vision
title_fullStr Depth estimation for a mobile platform using monocular vision
title_full_unstemmed Depth estimation for a mobile platform using monocular vision
title_sort depth estimation for a mobile platform using monocular vision
publisher Elsevier Ltd.
publishDate 2014
url http://dspace.unimap.edu.my:80/dspace/handle/123456789/33287
_version_ 1643797126372655104
score 13.222552

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